Job Description
·Analyze historical insurance data (policies, claims, endorsements, cancellations) to identify fraud patterns
·Develop, review, and optimize fraud prevention rules across the insurance lifecycle (policy issuance, mid-term changes, and claims)
·Adjust risk weights and parameters based on data-driven insights
·Identify suspicious profiles (policyholders, third parties, service providers, repair shops, etc.)
·Monitor fraud-related KPIs, such as:
·Fraud rate in claims
·Suspicion vs. confirmation ratio
·False positives
·Detection time
·Investigate anomalies in:
·Claims frequency
·Coverage usage
·Repeated entities (ID, phone number, address, vehicle, etc.)
·Perform data cross-referencing using internal and external sources
·Support the creation and maintenance of blacklists and risk profiles
·Conduct testing and validation of new fraud rules (including A/B testing)
·Research a...